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Software-Defined Simulations for Continuous Development of Cloud and Data Center Networks Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Process Instance Similarity: Potentials, Metrics, Applications

Authors : Johannes Pflug, Stefanie Rinderle-Ma

Published in: On the Move to Meaningful Internet Systems: OTM 2016 Conferences

Publisher: Springer International Publishing

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Abstract

The analysis of process instance similarity offers valuable input for certain application fields including the evaluation of instance clusters, the identification of compliance abuses, and process optimization. In this paper, we discuss the topic of instance similarity in general: We show that similarity might be determined from different process perspectives such as control flow, time, and instance attributes. Each of these perspectives impose individual requirements on the similarity calculation concerning data and structure. Four metrics for process instance similarity are proposed covering different perspectives. The applicability and feasibility of the proposed metrics are evaluated based on a prototypical implementation and real-world process logs from the BPI challenges.

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Footnotes
2
If several end nodes are allowed by the respective meta model, the closest one is selected.
 
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Metadata
Title
Process Instance Similarity: Potentials, Metrics, Applications
Authors
Johannes Pflug
Stefanie Rinderle-Ma
Copyright Year
2016
Book
On the Move to Meaningful Internet Systems: OTM 2016 Conferences

Print ISBN: 978-3-319-48471-6

Electronic ISBN: 978-3-319-48472-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48472-3_8

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